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Record W4381333623 · doi:10.3897/jbgs.2020.42.21

Prof. PhD Lyubomir Antonov Dinev-Kartografov (1911-1986) – The Creator of Specialty “Geography of Tourism” in Bulgaria

2020· article· en· W4381333623 on OpenAlex
M. Grozeva

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the Bulgarian Geographical Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsAlberta University of the Arts
Fundersnot available
KeywordsTourismBulgarianGeographyHuman geographyHuman settlementSubject (documents)Regional geographyRegional sciencePopulationHistorical geographyEconomic geographySociologyLibrary scienceDemographyArchaeology

Abstract

fetched live from OpenAlex

Prof. PhD Lyubomir Antonov Dinev is among the distinguished Bulgarian geographers. He is interested in this science since from his early childhood. This is due to his father Anton Dinev - Kartografov, a teacher of geography, who created the first study maps in geography, as well as the first methodological foundations of teaching in this subject. Lyubomir Dinev graduated with a degree in geography from Sofia University in 1935. After he completed a specialization in Prague. After his return to Bulgaria he entered Sofia University as an assistant in geography. Later, he reoriented himself to socio-economic geography, and in particular to the area of geography of population and settlements. Gradually he is habilitated for associate professor and professor. In addition to what he has achieved in his research work, Prof. L. Dinev stays in science by expanding the research field of geography in Bulgaria through the specialty “geography of tourism”, created by him, and the Department of the same name in the “Kl. Ohridski ”Sofia University.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0000.007
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.242
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it